Develop adverse event prediction and plaque phenotype classification models for patients with known or suspected carotid artery disease.
Develop adverse event prediction and plaque phenotype classification models using plaque morphology and composition assessment of CTA which has been validated by histology, applied to representative cohort of patients. Generalizability of models is enhanced by using validated rather than only raw image inputs. Demographic, clinical, and outcome data is collected for enrolled patients as well as information on events and interventions.
Study Type
OBSERVATIONAL
Enrollment
800
adverse event and phenotype classification model
Baltimore VA Medical Center
Baltimore, Maryland, United States
RECRUITINGUniversity of Maryland, Baltimore
Baltimore, Maryland, United States
RECRUITINGWalter Reed National Military Medical Center
Bethesda, Maryland, United States
Adverse outcome model performance
Develop adverse event model for major adverse neurological events (MANE) prediction on large retrospective cohort (and enable a prospective collection subsequent to this study). Consistent with this primary endpoint is the evaluation of all imaging-derived data that has a bearing on the diagnosis and prognosis of the subject.
Time frame: 2 years
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Weill Cornell Medicine (Affiliated with New York Presbyterian Hospital)
New York, New York, United States
RECRUITINGUniversity Hospital Harrington (Affiliated with Case Western Reserve University)
Cleveland, Ohio, United States
RECRUITING